Iterative Methods for the Calculation of a Few of the Lowest Eigenvalues and Corresponding Eigenvectors of the AX = Lamda BX Equation with Real Symmetric Matrices of Large Dimension.
Alexander V. MitinPublished in: J. Comput. Chem. (1994)
Keyphrases
- symmetric matrices
- iterative methods
- covariance matrix
- symmetric matrix
- positive definite
- eigenvalue decomposition
- principal component analysis
- singular value decomposition
- principal components
- correlation matrix
- constrained optimization
- covariance matrices
- computationally expensive
- neural model
- iterative algorithms
- laplacian matrix
- blind source separation
- eigendecomposition
- neural network
- sample size
- support vector